lecture on newton's method overlayed with newton's method fractal using opencv to extract image features and turn them into parameters for the fractal, using an opengl fragment shader for fractal rendering and compositing with source image. this is a derivative work of an excerpt from Lecture 13: Newton's method and other applications. MIT 18.01 Single Variable Calculus, Fall 2007 http://archive.org/details/MIT18.01JF07 Topics: Newton's method, Lecture, Fractal, Remix

HTML file that has embedded flash of screencast with this title minus the "- HTML". Topic: html embedded flash screencast deriving equation newton's method

Just a quick screencast I made demonstrating how to derive the equation used in Newton's Method for approximating roots. The narration isn't terribly good - I'm still using some verbal crutches - but I'm sure I will get better at this with time. I don't have the time right now to do more than a few takes, so I just did one revision for this. Topic: screencast mathcast deriving derive equation newton newton's method calculus

Computational techniques are proposed for a numerical solution of an inverse problem that arises in a study of a microbial depolymerization processes. The Newton-Raphson method in conjunction with the Newton’s method is applied to a time factor that involves three parameters. The Newton-Raphson method reduces a system of three equations for three unknowns to a single variable equation, which is solved with the Newton’s method. Those techniques were applied to a microbial... Topics: Newton’s method, Newton-Raphson method, biodegradation, polymer, mathematical model, numerical...

This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods... Topics: unconstrained and constrained optimization, unconstrained and constrained optimization, Lagrangean...